License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.DISC.2018.5
URN: urn:nbn:de:0030-drops-97945
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2018/9794/
Afek, Yehuda ;
Rafaeli, Shaked ;
Sulamy, Moshe
The Role of A-priori Information in Networks of Rational Agents
Abstract
Until now, distributed algorithms for rational agents have assumed a-priori knowledge of n, the size of the network. This assumption is challenged here by proving how much a-priori knowledge is necessary for equilibrium in different distributed computing problems. Duplication - pretending to be more than one agent - is the main tool used by agents to deviate and increase their utility when not enough knowledge about n is given.
We begin by proving that when no information on n is given, equilibrium is impossible for both Coloring and Knowledge Sharing. We then provide new algorithms for both problems when n is a-priori known to all agents. However, what if agents have partial knowledge about n? We provide tight upper and lower bounds that must be a-priori known on n for equilibrium to be possible in Leader Election, Knowledge Sharing, Coloring, Partition and Orientation.
BibTeX - Entry
@InProceedings{afek_et_al:LIPIcs:2018:9794,
author = {Yehuda Afek and Shaked Rafaeli and Moshe Sulamy},
title = {{The Role of A-priori Information in Networks of Rational Agents}},
booktitle = {32nd International Symposium on Distributed Computing (DISC 2018)},
pages = {5:1--5:18},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-092-7},
ISSN = {1868-8969},
year = {2018},
volume = {121},
editor = {Ulrich Schmid and Josef Widder},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2018/9794},
URN = {urn:nbn:de:0030-drops-97945},
doi = {10.4230/LIPIcs.DISC.2018.5},
annote = {Keywords: rational agents, distributed game theory, coloring, knowledge sharing}
}
Keywords: |
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rational agents, distributed game theory, coloring, knowledge sharing |
Collection: |
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32nd International Symposium on Distributed Computing (DISC 2018) |
Issue Date: |
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2018 |
Date of publication: |
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04.10.2018 |